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Development and validation of a cardiovascular diseases risk prediction model for Chinese males (CVDMCM)

Overview of attention for article published in Frontiers in Cardiovascular Medicine, November 2022
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1 X user

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4 Mendeley
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Title
Development and validation of a cardiovascular diseases risk prediction model for Chinese males (CVDMCM)
Published in
Frontiers in Cardiovascular Medicine, November 2022
DOI 10.3389/fcvm.2022.967097
Pubmed ID
Authors

Ying Shan, Yucong Zhang, Yanping Zhao, Yueqi Lu, Bangwei Chen, Liuqiao Yang, Cong Tan, Yong Bai, Yu Sang, Juehan Liu, Min Jian, Lei Ruan, Cuntai Zhang, Tao Li

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Professor > Associate Professor 1 25%
Researcher 1 25%
Unknown 1 25%
Readers by discipline Count As %
Medicine and Dentistry 2 50%
Unspecified 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 November 2022.
All research outputs
#20,587,621
of 23,172,045 outputs
Outputs from Frontiers in Cardiovascular Medicine
#4,396
of 7,084 outputs
Outputs of similar age
#348,096
of 438,535 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#500
of 849 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,084 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 438,535 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 849 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.